用于GPS接收抗干扰技术的RLS（Recursive Least Squares）算法改进研究

发布时间：2018-09-06 13:04

【摘要】：星基定位系统，特别是GPS（Global Positioning System），在军用和民用领域被广泛应用于定位、导航以及其他与位置有关的服务。但是，GPS信号在用户端是非常微弱并极易被干扰的。因此，GPS系统性能经常因为某些有意或者无意的干扰，而受到严重影响。所以，提高GPS系统定位的准确性、稳健性、可靠性是长久以来都存在的需求。在学界和业界最近的研究中，运用自适应天线阵列的GPS抗干扰技术被广泛关注，各种自适应阵列算法相继被提出。但是总的来说，这些算法都存在一个抗干扰性能和计算复杂度之间的取舍。本文主要针对GPS抗干扰问题，研究了基于自适应阵列的信号处理算法。作者对两种基本的算法，SMI（Sample Matrix Inversion）和RLS（Recursive LeastSquares）算法，在不同干扰数目、功率、到达角情况下的性能做了深入研究。同时，还提出了一种基于正则化原理的稳健RLS算法（R-RLS，Robust RecursiveLeast Squares）。仿真显示，，R-RLS算法相较于传统RLS算法获得了更高的SINR，更深的零陷，更快的收敛速度。进一步地，还完成了基于Matlab的GPS链路仿真，验证了R-RLS算法的性能。仿真中，R-RLS算法成功抑制了干扰，期望GPS信号也被GPS接收机的捕获模块成功捕获。同时，R-RLS算法还在真实的GPS场景下进行了实验。实验中，干扰同样被成功抑制，GPS信号也得到了捕获。
[Abstract]:Space-based positioning systems, especially GPS (Global Positioning System), are widely used in military and civil fields, such as positioning, navigation and other location-related services. But GPS signal is very weak and easy to be interfered with. Therefore, the performance of GPS system is often seriously affected by some intentional or unintentional interference. Therefore, improving the accuracy, robustness and reliability of GPS positioning is a long-standing demand. In recent researches in academia and industry, the GPS anti-jamming technology using adaptive antenna array has been widely concerned, and various adaptive array algorithms have been proposed one after another. But in general, these algorithms have a trade-off between anti-jamming performance and computational complexity. In this paper, the signal processing algorithm based on adaptive array is studied, aiming at the problem of anti-jamming in GPS. The performance of two basic algorithms, SMI (Sample Matrix Inversion) and RLS (Recursive LeastSquares), under different interference number, power and angle of arrival is studied in detail. At the same time, a robust RLS algorithm (R-RLS robust RecursiveLeast Squares).) based on regularization principle is proposed. Simulation results show that the R-RLS algorithm achieves higher SINR, deeper zero trapping and faster convergence speed than the traditional RLS algorithm. Furthermore, GPS link simulation based on Matlab is completed to verify the performance of R-RLS algorithm. In the simulation, the R-RLS algorithm successfully suppressed the interference and expected the GPS signal to be captured successfully by the capture module of the GPS receiver. At the same time, the R-RLS algorithm is also tested in the real GPS scene. In the experiment, the interference was also successfully suppressed and the GPS signal was captured.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P228.4;TN973

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